Dr. Shawn J. Beard Profile

Dr. Shawn J. Beard

Chief Technology Officer

SPIE Involvement:

Author

Publications (19)

Proceedings Article | 18 April 2022 Presentation

Bessel beam in acoustics

Mustahseen Indaleeb, Sourav Banerjee, Shawn Beard

Proceedings Volume PC12048, PC120480Y (2022) https://doi.org/10.1117/12.2613233

KEYWORDS: Acoustics, Bessel beams, Wave propagation, Optical tweezers, Beam propagation method, Axicons, Scattering, Laser scattering, Laser applications, Laser ablation

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Proceedings Article | 18 April 2022 Presentation + Paper

Damage detection using two-stage compressive sensing

Shawn Beard, Mustahseen Indaleeb, Sourav Banerjee

Proceedings Volume 12047, 120470D (2022) https://doi.org/10.1117/12.2614569

KEYWORDS: Compressed sensing, Sensors, Data acquisition, Diagnostics, Damage detection, Structural health monitoring, Nondestructive evaluation, Inspection, Image compression

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Proceedings Article | 1 April 2011 Paper

Integrated material state awareness system with self-learning symbiotic diagnostic algorithms and models

Sourav Banerjee, Lie Liu, S. Liu, Fuh-Gwo Yuan, Shawn Beard

Proceedings Volume 7984, 79840M (2011) https://doi.org/10.1117/12.880511

KEYWORDS: Sensors, Ultrasonics, Structural health monitoring, Diagnostics, Modulation, Actuators, Algorithm development, Inspection, Wave propagation, System integration

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Proceedings Article | 9 April 2010 Paper

Damage quantification using smart patch system for hot spot monitoring

Sourav Banerjee, Shawn Beard, Fady Habib, Marcias Martinez

Proceedings Volume 7650, 76501N (2010) https://doi.org/10.1117/12.847377

KEYWORDS: Sensors, Expectation maximization algorithms, Statistical analysis, Damage detection, Structural health monitoring, Calibration, Detection and tracking algorithms, Algorithm development, Data modeling, Data analysis

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Proceedings Article | 1 April 2010 Paper

Multifunctional sensor network for structural state sensing and structural health monitoring

Xinlin Qing, Roy Ikegami, Shawn Beard, David Zhang, Samik Das, Sourav Banerjee, Fu-Kuo Chang

Proceedings Volume 7647, 764711 (2010) https://doi.org/10.1117/12.847180

KEYWORDS: Sensors, Sensor networks, Sensing systems, Composites, Temperature metrology, Damage detection, Manufacturing, Diagnostics, Aerodynamics, Data processing

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Proceedings Article | 8 April 2009 Paper

Smart patch for monitoring the integrity of steel frame joints

H. Chung, S. Beard, C. Zhang, C. Aquino, J. Mapar

Proceedings Volume 7294, 72941B (2009) https://doi.org/10.1117/12.816652

KEYWORDS: Sensors, Buildings, Structural health monitoring, Earthquakes, Actuators, Sensor networks, Interfaces, Inspection, Bridges, Software development

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Proceedings Article | 8 April 2009 Paper

SmartComposite system for impact damage detection on composite structures

Xinlin Qing, Shawn Beard, Jerome Pinsonnault, Sourav Banerjee

Proceedings Volume 7295, 729506 (2009) https://doi.org/10.1117/12.810594

KEYWORDS: Sensors, Composites, Structural health monitoring, Damage detection, Diagnostics, Environmental sensing, Sensor networks, Manufacturing, Signal processing, Wave propagation

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Proceedings Article | 16 April 2008 Paper

Structural health monitoring: an enabler for responsive satellites

Brandon Arritt, Lawrence Robertson, Benjamin Henderson, Lien Ouyang, Shawn Beard, Erik Clayton, Michael Todd, Derek Doyle, Andrei Zagrai, Steven Buckley, Jeffrey Ganley, Jeffry Welsh

Proceedings Volume 6935, 693513 (2008) https://doi.org/10.1117/12.776336

KEYWORDS: Satellites, Structural health monitoring, Space operations, Data modeling, Visual process modeling, Sensors, Satellite communications, 3D displays, Defense and security, Aluminum

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Proceedings Article | 8 April 2008 Paper

SMART solutions for composite structures

David Zhang, Paul Liu, Shawn Beard, Peter Qing, Amrita Kumar, Lien Ouyang

Proceedings Volume 6934, 69341C (2008) https://doi.org/10.1117/12.778468

KEYWORDS: Sensors, Composites, Structural health monitoring, Damage detection, Sensor networks, Metals, Temperature metrology, Diagnostics, Detection and tracking algorithms, Switches

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Proceedings Article | 27 April 2007 Paper

A new SMART sensing system for aerospace structures

David Zhang, Pin Yu, Shawn Beard, Peter Qing, Amrita Kumar, Fu-Kuo Chang

Proceedings Volume 6561, 656107 (2007) https://doi.org/10.1117/12.720124

KEYWORDS: Sensors, Composites, Sensing systems, Diagnostics, Structural health monitoring, Inspection, Data acquisition, Unmanned vehicles, Unmanned aerial vehicles, Sensor networks

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Proceedings Article | 19 April 2007 Paper

Responsive satellites and the need for structural health monitoring

Brandon Arritt, Amrita Kumar, Steven Buckley, Robert Hannum, Jeffry Welsh, Shawn Beard, Xinlin Qin, Peter Wegner

Proceedings Volume 6531, 653109 (2007) https://doi.org/10.1117/12.714424

KEYWORDS: Satellites, Structural health monitoring, Sensors, Space operations, Connectors, Satellite communications, Diagnostics, Signal processing, Analytical research, 3D displays

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Proceedings Article | 11 April 2007 Paper

Design of a robust SHM system for composite structures

Shawn Beard, Ching-Chao Liu, Fu-Kuo Chang

Proceedings Volume 6527, 652709 (2007) https://doi.org/10.1117/12.717319

KEYWORDS: Sensors, Composites, Structural health monitoring, Environmental sensing, Signal processing, Damage detection, Inspection, Transducers, Reliability, Sensor networks

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Proceedings Article | 10 May 2006 Paper

Impact detection and analysis/health monitoring system for composites

James Child, Amrita Kumar, Shawn Beard, Peter Qing, Don Paslay

Proceedings Volume 6222, 62220G (2006) https://doi.org/10.1117/12.669525

KEYWORDS: Composites, Sensors, Rockets, Calibration, Manufacturing

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Proceedings Article | 30 March 2006 Paper

In situ monitoring of the integrity of bonded repair patches on aircraft and civil infrastructures

Amrita Kumar, Dennis Roach, Shawn Beard, Xinlin Qing, Robert Hannum

Proceedings Volume 6179, 61790M (2006) https://doi.org/10.1117/12.657681

KEYWORDS: Sensors, Ferroelectric materials, Structural health monitoring, Inspection, Diagnostics, Data centers, Composites, Signal processing, Adhesives, Metals

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Monitoring the continued health of aircraft subsystems and identifying problems before they affect airworthiness has been a long-term goal of the aviation industry. Because in-service conditions and failure modes experienced by structures are generally complex and unknown, conservative calendar-based or usage-based scheduled maintenance practices are overly time-consuming, labor-intensive and expensive. Metal structures such as helicopters and other transportation systems are likely to develop fatigue cracks under cyclic loads and corrosive service environments. Early detection of cracks is a key element to prevent catastrophic failure and prolong structural life. Furthermore, as structures age, maintenance service frequency and costs increase while performance and availability decrease. Current non-destructive inspection (NDI) techniques that can potentially be used for this purpose typically involve complex, time-intensive procedures, which are labor-intensive and expensive. Most techniques require access to the damaged area on at least one side, and sometimes on both sides. This can be very difficult for monitoring of certain inaccessible regions. In those cases, inspection may require removal of access panels or even structural disassembly. Once access has been obtained, automated inspection techniques likely will not be practical due to the bulk of the required equipment. Results obtained from these techniques may also be sensitive to the sweep speed, tool orientation, and downward pressure. This can be especially problematic for hand-held inspection tools where none of these parameters is mechanically controlled. As a result, data can vary drastically from one inspection to the next, from one technician to the next, and even from one sweep to the next. Structural health monitoring (SHM) offers the promise of a paradigm shift from schedule-driven maintenance to condition-based maintenance (CBM) of assets. Sensors embedded permanently in aircraft safety critical structures that can monitor damage can provide for improved reliability and streamlining of aircraft maintenance. Early detection of damage such as fatigue crack initiation can improve personnel safety and prolong service life. This paper presents the testing of an acousto-ultrasonic piezoelectric sensor based structural health monitoring system for real-time monitoring of fatigue cracks and disbonds in bonded repairs. The system utilizes a network of distributed miniature piezoelectric sensors/actuators embedded on a thin dielectric carrier film, to query, monitor and evaluate the condition of a structure. The sensor layers are extremely flexible and can be integrated with any type of metal or composite structure. Diagnostic signals obtained from a structure during structural monitoring are processed by a portable diagnostic unit. With appropriate diagnostic software, the signals can be analyzed to ascertain the integrity of the structure being monitored. Details on the system, its integration and examples of detection of fatigue crack and disbond growth and quantification for bonded repairs will be presented here.

Proceedings Article | 5 May 2005 Paper

Practical issues in real-world implementation of structural health monitoring systems

Shawn Beard, Amrita Kumar, Xinlin Qing, H. Chan, Chang Zhang, Teng Ooi

Proceedings Volume 5762, (2005) https://doi.org/10.1117/12.605757

KEYWORDS: Sensors, Structural health monitoring, Composites, Calibration, Sensor networks, Reliability, Actuators, Inspection, Active remote sensing, Environmental sensing

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Proceedings Article | 14 July 2004 Paper

Potential applications of SMART Layer technology for homeland security

Amrita Kumar, H. Felix Wu, Mark Lin, Shawn Beard, Xinlin Qing, Chang Zhang, Michael Hamilton, Roy Ikegami

Proceedings Volume 5395, (2004) https://doi.org/10.1117/12.537064

KEYWORDS: Sensors, Homeland security, Composites, Missiles, Diagnostics, Manufacturing, Actuators, Metals, Inspection, Radar

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Proceedings Article | 14 August 2003 Paper

Monitoring the integrity of filament-wound structures using built-in sensor networks

Mark Lin, Amrita Kumar, Xinlin Qing, Shawn Beard, Samuel Russell, James Walker, Thomas Delay

Proceedings Volume 5054, (2003) https://doi.org/10.1117/12.483877

KEYWORDS: Composites, Sensors, Sensor networks, Rockets, Manufacturing, Diagnostics, Inspection, Domes, Aluminum, Prototyping

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Proceedings Article | 15 July 2002 Paper

Advances in utilization of structurally integrated sensor networks for health monitoring in commercial applications

Mark Lin, Amrita Kumar, Xinlin Qing, Shawn Beard

Proceedings Volume 4701, (2002) https://doi.org/10.1117/12.474698

KEYWORDS: Sensors, Composites, Structural health monitoring, Manufacturing, Fiber optics sensors, Inspection, Sensor networks, Aerospace engineering, Actuators, Diagnostics

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Proceedings Article | 14 June 2001 Paper

SMART Layer and SMART Suitcase for structural health monitoring applications

Mark Lin, Xinlin Qing, Amrita Kumar, Shawn Beard

Proceedings Volume 4332, (2001) https://doi.org/10.1117/12.429646

KEYWORDS: Diagnostics, Sensors, Composites, Actuators, Interfaces, Signal processing, Inspection, Sensor networks, Structural health monitoring, Safety

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Showing 5 of 19 publications

Conference Committee Involvement (3)

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VII

10 March 2013 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VI

12 March 2012 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security V

7 March 2011 | San Diego, California, United States

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